bonnieweng / greenhouse-modelling

A decision support tool for greenhouse design. Created as a part of the 4th year capstone design course at the University of Toronto Engineering Science Energy Systems specialization.

A Decision Support Tool for Greenhouse Design

This project is created by the University of Toronto Engineering Science Energy Systems Specialization Class of 2020, as a part of the 4th year capstone design course. For detailed design background, process and assumptions of our simulation model, please see our design report (in the report folder). We hope you enjoy exploring our project!

Getting Started

Our project runs on Python 3.7 and uses Plotly Dash and Dash Bootstrap Components packages. Therefore, in order to run our simulation, you will need to install Python and the associated packages. Please see the below links to the official documentation for set up instructions.

Anaconda Python Package: https://www.anaconda.com/products/individual
Plotly Dash: https://dash.plotly.com/installation
Dash Bootstrap Components: https://dash-bootstrap-components.opensource.faculty.ai/

In our design, Plotly Dash is used to make our simulation interactive to the users and Dash Bootstrap Components is used to organized our frontend layout neatly.

How to run a simulation?

To run a simulation, simply clone this repository to your local workspace. Then run the file, layout.py. A new web browser should open and display the users inputs as the figure shown here.

Sample outputs

The figures below show the sample outputs from the simulation.

How to modify datasets?

All of the data used to design this simulation is stored in the folder named datasets. If you would like to enhance or update the data, simply modified the excel workbooks or csvs there. However, you may also need to update the code base if you change the input parameters or change the format of the datasets completely.

Group Members

• Ben Mucsi
• Rosemary Jose
• Joshua Paciocco
• Bonnie Weng